论文标题
神经科学参考列表中性别失衡的程度和驱动因素
The extent and drivers of gender imbalance in neuroscience reference lists
论文作者
论文摘要
像许多科学学科一样,神经科学越来越多地试图面对该领域中普遍存在的性别失衡。尽管许多对话都围绕出版和会议参与,但其他领域的最新研究呼吁人们注意引文实践中性别偏见的普遍性。由于引用可以对可见性和职业发展产生的下游影响,因此在引文实践中理解和消除性别偏见对于解决科学界不平等至关重要。在这项研究中,我们试图确定神经科学家引用实践中是否存在性别偏见的证据。使用来自五个顶级神经科学期刊的数据,我们发现参考列表往往包含与男性作为第一和最后作者的论文,而不是性别不是参考的因素。重要的是,我们表明,这种对男性的过度和妇女的低估主要是由男性的引用实践所驱动的,并且随着领域变得更加多样化,随着时间的流逝,男性的毒气和少数毒品。我们开发了一个共同创作网络,以评估研究人员的社交网络中的同质性,我们发现即使男人的社交网络是代表性的,男人也倾向于过分。我们讨论了可能的机制,并考虑个人研究人员如何在自己的实践中解决这些发现。
Like many scientific disciplines, neuroscience has increasingly attempted to confront pervasive gender imbalances within the field. While much of the conversation has centered around publishing and conference participation, recent research in other fields has called attention to the prevalence of gender bias in citation practices. Because of the downstream effects that citations can have on visibility and career advancement, understanding and eliminating gender bias in citation practices is vital for addressing inequity in a scientific community. In this study, we sought to determine whether there is evidence of gender bias in the citation practices of neuroscientists. Using data from five top neuroscience journals, we find that reference lists tend to include more papers with men as first and last author than would be expected if gender were not a factor in referencing. Importantly, we show that this overcitation of men and undercitation of women is driven largely by the citation practices of men, and is increasing over time as the field becomes more diverse. We develop a co-authorship network to assess homophily in researchers' social networks, and we find that men tend to overcite men even when their social networks are representative. We discuss possible mechanisms and consider how individual researchers might address these findings in their own practices.